CRAN

glasso 1.10

Graphical Lasso: Estimation of Gaussian Graphical Models

Released Jul 13, 2018 by Rob Tibshirani

This package can be loaded by Renjin but all tests failed.

Estimation of a sparse inverse covariance matrix using a lasso (L1) penalty. Facilities are provided for estimates along a path of values for the regularization parameter.

Installation

Maven

This package can be included as a dependency from a Java or Scala project by including the following your project's pom.xml file. Read more about embedding Renjin in JVM-based projects.

<dependencies>
  <dependency>
    <groupId>org.renjin.cran</groupId>
    <artifactId>glasso</artifactId>
    <version>1.10-b3</version>
  </dependency>
</dependencies>
<repositories>
  <repository>
    <id>bedatadriven</id>
    <name>bedatadriven public repo</name>
    <url>https://nexus.bedatadriven.com/content/groups/public/</url>
  </repository>
</repositories>

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Renjin CLI

If you're using Renjin from the command line, you load this library by invoking:

library('org.renjin.cran:glasso')

Test Results

This package was last tested against Renjin 0.9.2689 on Aug 26, 2018.

Source

R
C
Fortran

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Release History